Below are some of the conferences where we have presented our data. View full posters and complete presentations under “Posters & Presentations”.
Central group on education affairs (cgea)
2017 - Chicago, IL
Presented original study, “Who Lives in UWorld?” Overall, well-received and noted as being a “novel study to investigate an issue that could potentially affect medical students’ perceptions of diverse patients during their formative years”.
Examined 2,209 questions in UWorld Step 1 question bank
Used Social Stigma Scoring Tool to assign positive and negative points and generate Social Stigma Score (SSS)
Calculated average SSS by race and sex
snma annual medical education conference
2018 - Philadelphia, PN
Presented data regarding whether there is a statistically significant difference in portrayal of patients in question banks from three, commonly used, commercially available question banks. Although not statistically significant, there was a discrepancy between the portrayal of patients in question banks.
Examined 3,713 questions
154 questions included race (4.15%)
77 (50%) White/Caucasian
55 (36%) African-American
20 (13%) Asian
2 (1%) Hispanic
Used updated Social Stigma Scoring Tool to assign positive and negative points and generate Social Stigma Score (SSS)
Calculated average SSS by race and gender
ama changemeded conference
2019 - Chicago, IL
Presented research findings including “Who Lives in UWorld?" in addition to unblinded data from three commercially available question banks. Discussed that while our studies cannot provide direct evidence of what students learn from question banks, it is known that race shapes public beliefs. Thus, at best, the mention of race reinforces existing bias; and, at worst, mention of race introduces new biases to student-doctors.
gold humanism conference
2019 - Orlando, FL
Conducted session focusing on the recognition of “implicit association” and its impact on health care inequity. Introduced our animated video (https://youtu.be/JncjHH2KId4) emphasizing the importance of addressing implicit bias in medical education.
